Content Explanation Apparatus for User Confusion Detection
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Solution Overview
Problem
Current human-computer interaction systems fail to effectively convey content to users when they are confused, leading to low interaction effectiveness due to simple repetition of identified points without adequate understanding.
Innovation Solution
A content explanation method and apparatus that utilizes emotion recognition technology to identify user confusion and converts content into a representation manner aligned with the user's intelligence type, improving understanding and interaction efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple repetition of identified points is used to help user understanding, then the system operation is simple, but the user understanding effectiveness is poor
Solution Approach 1:
The system changes the representation parameters of content based on detected user emotions. When confusion is detected, the system transforms the content into alternative representation forms (e.g., different explanation styles, formats, or levels of detail) to match the user's current cognitive state, thereby improving understanding effectiveness without significantly increasing system complexity
Solution Approach 2:
The system dynamically adjusts the content representation based on real-time emotion detection. The explanation approach is not static but adapts continuously according to the user's emotional state, switching between different representation manners to maintain effective communication
2Reliability
If content is converted into multiple representation manners based on intelligence types, then user understanding capability is improved, but the device complexity increases
Solution Approach 1:
The system pre-establishes an emotion library and intelligence type library that categorize different emotional states and corresponding effective representation manners. This preliminary preparation allows the system to quickly match detected emotions with appropriate content transformations without requiring complex real-time analysis, reducing operational complexity while maintaining effectiveness
Solution Approach 2:
The system introduces an intermediary layer (the intelligence type classification system) that maps between user emotions and appropriate content representations. This intermediary structure simplifies the conversion process by providing a structured framework for selecting representation manners based on detected emotional states
Data Source
AI summary
A content explanation method and apparatus applied to content explanation includes identifying, by a content explanation apparatus, an emotion of the user, when identifying a negative emotion showing that the user is confused about delivered multimedia information, obtaining, by the content explanation apparatus, a target representation manner of target content in a target intelligence type, where the target content is content about which the user is confused in the multimedia information delivered to the user by an information delivery apparatus associated with the content explanation apparatus, and presenting, by the content explanation apparatus, the target content to the user in the target representation manner.